Research to Business Projects at the University of Turku

The Research to Business funding of Business Finland promotes the development of an idea while also preparing its commercialisation in order to form a new business activity.

Ongoing projects

MPRINT: Next-Generation Miniaturized Laser Metal 3D Printing Solution

The MPRINT project is developing an advanced miniaturized laser-based metal 3D printing system designed for high-precision manufacturing, multi-material processing, and intelligent process control. This compact and modular system is targeted at niche industrial applications such as space, defense as well as research institutions and universities requiring a flexible and innovative additive manufacturing solution.

The project integrates cutting-edge advancements in laser-material processing, AI-driven real-time monitoring, and process automation, enabling high-quality printing with improved material efficiency. MPRINT aims to provide a scalable solution that meets the evolving needs of both research and industry while strengthening Finland’s position in digital manufacturing technologies.

The project focuses on transforming a research-based innovation into a commercially viable technology, laying the foundation for a potential startup or technology licensing. It also supports sustainable manufacturing by reducing material waste and optimizing energy consumption.

More information: Anssi Kähkönen

AICRIT - Critical AI

AICRIT is a method, software agent, and AI solution that employs critical Socratic syllogisms, self- reflection, and context-sensitive content indexing. In complex environments, AI implementation can seem like an ideal solution, offering the ability to process vast amounts of data more efficiently. However, if AI is used with inherent biases or poor-quality data, it can worsen existing issues. AICRIT structures problem-solving, conducts critical assessments, and helps identify illogical or faulty conclusions. It breaks down complex problems into smaller, more manageable parts, solving them iteratively to enable deeper analysis, more accurate decision-making, and improved governance. Its unique capability is to visualize decision making related patterns to enable systemic problem solving.

AICRIT reduces barriers for organizations concerned about the risks of AI in decision-making. It enhances transparency, increasing public trust in institutions, their decision-making processes, and the fairness of their decisions. On a societal level, AICRIT promotes a greater understanding of the importance of deep and critical reasoning. It encourages new perspectives in decision-making and demonstrates how challenging established assumptions can lead to better and fairer outcomes.

The project’s execution consists of a two-phase Proof of Concept (PoC) study, supported by a commercialization study. Work packages will be carried out concurrently, with iterations between them. Interim milestones, occurring every six months, will prepare, implement, and validate the project’s progress, leading to an updated hypothesis that will be disseminated. The commercialization phase focuses on market, competitor, and alternative analyses, as well as exploring different business models for commercialization. The primary goal is for the PoC study to demonstrate the tool’s effectiveness and its ability to meet the needs of users across various business models.

More information: Marjo Pihlavisto

IC Diagnostics Next-generation immunoassays for hormone detection

Current hormone testing methods, including standard immunoassays and mass spectrometry, are often limited by high costs and complex sample handling procedures. This R2B project aims to address this by improving hormone testing for versatile detection in centralized and decentralized settings. The project is designed to improve the accuracy, reproducibility and affordability of hormone tests, making them more suitable for broader use in centralized laboratories, private clinics, and at-home testing.

By addressing the limitations in current diagnostic methods, this project is not just about making hormone testing more accessible and practical for a wider range of users. It's about paving the way for a future where personalized health monitoring is the norm. If successful, the result of the project will create the fundamentals to monitor and manage conditions like fertility, metabolic disorders, and hormonal imbalances and lay the groundwork for future innovations in hormone diagnostics and related areas of healthcare.

More information: Marjo Pihlavisto

OSSE - Organic Semiconductor materials for Sustainable Electronics

The OSSE (Organic Semiconductor materials for Sustainable Electronics) project represents a groundbreaking endeavour at the intersection of sustainable materials and cutting-edge technology. Our material manufacturing technology is simple, easy to implement and scalable, giving it significant market potential. As markets for portable electronics, lifestyle products, and infrastructure continue to expand, the demand and need for innovative, eco-friendly materials has never been greater. Our project addresses this need by developing cost-effective, versatile and multi-functional materials that can revolutionize various fields and applications of electronics. By applying our developed organic conducting cost-effective polymer materials, we can implement and design new solutions and products, e.g., smart glass/windows. Our innovative fabrication method ensures ease of use and compatibility with various substrates. In addition, easy patterning is feasible, making these materials adaptable for multiple sectors, from energy to electronics and beyond.

In summary, the OSSE project bridges the gap between sustainability, functionality and design, offering a new paradigm for adaptable materials in a rapidly evolving world.

More information: Anssi Kähkönen

Read2Learn

The Read2Learn solution is modular and scalable, consists of both products, learning and teaching materials, digital learning environment, assessment tools and services. "Capacity Building" covers in-service teacher training and selling concepts for designing learning materials. The success of societies and solutions to global crises depend on citizens' understanding, skills and adaptability to learn new conceptual knowledge. Understanding phenomena such as climate change and loss of biodiversity require a high level of conceptual understanding and the ability to critically utilize different sources and artificial intelligence. However, there is no concept on the market that could support teachers and learners of different ages to learn the skills of online reading and support demanding conceptual learning based on many sources in a safe and responsible way. The Read2Learn concept is designed to teach and practice these skills. Read2Learn concept supports both teachers and students through feedback based on learning process. The Read2Learn concept prototype has been tested in Chile. In Finland the concept has been tested with teachers, pre-service teachers, students and in interventions reaching students from elementary to high school and universities.

Online reading is one of the most important civic skills. The critical and creative use of artificial intelligence is becoming a key future skill. However, these skills are not systematically taught, studied or assessed in formal education in Finland, Europe or globally. Both teachers and learners of different ages need tools and support for utilizing online reading skills and artificial intelligence in their studies. Finding reliable and relevant information is vital, but difficult because of modern Internet, especially social media and artificial intelligence, producing intentionally or unintentionally incorrectly synthesized information. The market for Read2Learn is large, international and growing.

More information: Erik Niemelä

Novelabs

The aim of the project is to develop a concept for detection of human rhinoviruses and noroviruses. There are several types of each virus, which has hampered assay development. Rhinovirus is the causal agent of common cold or flu but often confused with other viruses and bacteria, which cause similar symptoms. According to epidemiological studies rhinovirus is clearly the most common respiratory pathogen in humans. There are currently around 170 rhinovirus types, which cause roughly 50% of common cold cases. In epidemic season the number may be up to 90%. Norovirus is one of the most contagious diarrheal virus with strong disease symptoms. The elderly and children are most vulnerable to noroviral disease. At the moment there are no point-of-care assays or test analytes for the detection of human rhino- and noroviruses. Such an assay would bring in savings in many segments including self-testing similarly to SARS-CoV-2 test, which could be purchased at pharmacy or grocery. Self-testing could prevent virus spread within communities such as work, day care center or nursery among the elderly who are the most vulnerable to common cold associated diseases such as pneumonia and diarrhea, which rapidly leads to dehydration with complications. Prevention of further spreading would save costs since it has been estimated that one absence day costs 350 euros and cost of hospitalization maybe be ten times more per day. Since rhinovirus is the most common respiratory pathogen, diagnosing it would help in preventing development of antimicrobial resistance and unnecessary use of antibiotics. Test could be used on its own in dipstick format or implemented in multianalyte test to help decision-making in hospitals including ER and children´s clinic. This would bring in much added value to companies that develop multianalyte tests.

More information: Erik Niemelä

LEADS4CIP

Cancer drug development is a complex process in which medications that specifically target a chosen target protein are designed and further developed to enable cancer treatment. Although cancer treatment has advanced significantly in recent years, no treatments are still available for many types of cancer, and the prognosis is very short. In the LEADS4CIP project, a new, targeted drug therapy is being developed for these types of cancers that are still beyond the reach of current treatments. The research is conducted at the University of Turku, Institute of Biomedicine, where both research resources and a local drug development hub enable the efficient progress of the project.

More information: Marjo Pihlavisto

FATanalyzer

The fats and oils in our diet are an important part of maintaining overall health and well-being. The different dietary fats are known to have many effects, but it is very challenging to determine the properties and influence of specific fats, as the current analytical methods are unable to determine the exact molecular structures of fat. In addition to the composition of fatty acids (FA), the properties of fat are influenced by the locations of FAs in individual triacylglycerol molecules (TAGs), consisting of three FAs and a glycerol backbone. Up to 98% of dietary fat consists of TAGs, so it is a very significant part of our daily diet. The same fatty acid composition in different structural configurations (regioisomers) may affect fat absorption and physical properties such as melting point or stability. The effects of regioisomers on absorption have been demonstrated, for example, in breast milk and infant formulas, which often have very different TAG-regioisomer compositions. This may lead to poor absorption of fat from infant formula, posing challenges and deficiencies in current infant nutrition.

The FATanalyser provide powerful methods for in-depth structural analysis of regioisomers in fats and oils, which will enable precision product design in the development of healthier foods, nutraceuticals, and food supplements. The purpose of this project is to optimize our novel methods to be suitable for routine analytics and to provide after the project an analysis service to companies, helping them to in developing novel products. Since no other analysis service in the world provides similar structural analysis of fat and oils at this level, we will also cooperate with the commercial analytical service providers to allow our methods to be used as widely as possible around the world.

More information: Erik Niemelä

Flavoria Flex

Consumers want to know what is in the food they eat, how it affects their health. The content of the food is essential if you have food allergies. In nursing homes it is very important to know that elderly people do get enough nutrition.

The size of food service market is globally about 4000 milj.€. There are over 16 000 professional kitchens in Finland. Food service companies want to develop their services to respond to the customer needs and for that they need data on the customer behavior. Collection and exploitation of data will be in an essential role in business development of food service companies.

Intelligent Flavoria Flex solution will be developed to solve these needs. It is an easy-to-install system collecting detailed information on the amount and quality of consumers’ food selection choices. Data is compiled and provided to the food service company for improving the food selection and to the consumers for following the food choices.

There are currently available separate technological solutions for food service companies, but there is not any whole concept solution available. Flavoria Flex multisensory solution enables the monitoring of individuals’ food choices and it scales to the needs of different size food service companies. The project investigates the information production capabilities of imaging technologies in a restaurant, retail and care services and preparations to commercialize the whole concept.

More information: Anssi Kähkönen

NAVIGATOR - A Novel Tool for Early Diagnostics and Treatment of Brain Metastases

Brain metastasis are fatal complications of several different cancers. Currently used tools (including PET, CT, or MRI scans) do NOT allow early diagnosis of brain metastases, which are today diagnosed based on persisting symptoms like headache, memory loss, personality changes, or seizures. This late diagnosis, in most cases, leads to poor prognosis with average of 6 months life expectancy. Thus, there is a significant unmet medical need for prolonging survival of these patients.

We have designed and developed the NAVIGATOR, a targeting molecule that can be conjugated via a linker to a radioisotope to specifically label and visualize brain tumour cells via a routine PET imaging. The NAVIGATOR offers unique features that allow specific recognition of tumour cells and will be used for unprecedented early diagnostics, thus, disrupting the current status quo. Due to the uniqueness of the NAVIGATOR no other agent with similar properties exists in the market.

The NAVIGATOR has the potential to revolutionize the way patients are diagnosed and treated today. The NAVIGATOR enables early diagnostics of brain metastases even when tumours are small allowing earlier treatment and thus prolonging the lifespan of patients. Importantly, NAVIGATOR will improve patients’ ability to return to work and actively participate in life, thus, lowering the burden in the health care systems with significant positive economic and societal impact.

More information: Marjo Pihlavisto

Ended projects

Metabolic Engineering by Single Cell Mutant Selection

Our innovation takes advantage of single cell technologies to revolutionize traditional industrial strain development. Industrial enzymes and microbial natural products are produced in a closed environment in a bioreactor. Therefore, product yields determine the commercial viability of the product and a microbial strain with high product yields provides a significant competitive advantage.Optimized industrial strains that produce high quantity of desired products are of great interest for pharmaceutical and enzyme companies. Industrial enzyme market alone is extensive, valued at $10 billion. There has been a drastic change in the lifestyle of human beings and the expected lifespan has increased since the industrial revolution. New types of diseases are discovered, and microbe derived products continue to provide solutions to such diseases. Global Microbial Product Market is expected to grow $250 billion by 2023. Many international companies in enzyme production market rely on bacterial strains in manufacturing and our solution would cut production cost and reduce production time in an eco-friendly manner. We will demonstrate the superiority of our strain development tool and generate a set of verified industrial strains, which can be launched commercially after completion of the project and sold to the manufacturing industry. At the end of the project, our technology will become the de facto leader in the field of industrial strain development.

More information: Mikko Metsä-Ketelä and Erik Niemelä

SuperTROPO

The SuperTROPO project aims to promote commercialization of the SuperTROPO test. The SuperTROPO test detects special long forms of cardiac troponin T molecule in blood samples. Cardiac troponin tests are widely used in diagnosing heart attack in patients arriving at the hospital with symptoms of heart attack such as chest pain. The current troponin tests are positive for 50% of such patients, although only 10% of them actually have a heart attack. Repeated troponin testing is required to better identify the heart attack patients but still is not helping much. The current tests detect both long and short forms of cardiac troponins. Based on preliminary results the SuperTROPO test, which detects solely the long troponin forms, identifies the patients who have heart attack clearly better than the tests currently at use in hospitals. However, it is essential to confirm these results in a larger study in the intended clinical setting in the SuperTROPO project to be able to commercialize the SuperTROPO test. In addition, the possibilities for commercialization of SuperTROPO test are explored by detailed market and business environment analyses, immaterial property right investigations, evaluation of various commercialization strategies in the SuperTROPO project. There are no tests similar to SuperTROPO available elsewhere. The other methods for detecting the special long forms of cardiac troponin T are very complicated and cannot be implemented in hospital laboratories. When SuperTROPO test is commercialized and becomes available at the hospitals, it can improve patient care by securing efficient treatment and decreasing the numbers of unnecessary expensive and risky treatment procedures. SuperTROPO can also produce significant savings in healthcare, ease the burden of healthcare professionals especially at the crowded emergency departments and benefit the environment by decreasing waste as there is less need for repeated tests.

More information: Marjo Pihlavisto

SWS - Smart Wear Sensor

The objective of the Smart Wear Sensor (SWS) R2B project is to develop and commercialize SWS-technology, which enables real-time quality monitoring of problematic or relevant wear of surfaces in R&D-sector and in mass production. SWS-technology can be utilized e.g. in precision machining of different materials, and to automatic control of production phases or processes.

More information: Anssi Kähkönen

RONASEC

In our everyday life, we are using many electronic devices. These devices are made of semiconductor materials. Different semiconductor materials are used in devices depending on the application area. In RONASEC project, we apply our technology on devices made of compound semiconductors. We can improve devices made of III-V semiconductors (solar cells, detectors, LEDs, and lasers) by our technology. We offer increased energy efficiency for such devices with an environmentally friendly and scalable technology with lower production/investment cost. Our technology is simple and does not require specific equipment nor critical raw materials.

More information: Anssi Kähkönen

New anti-counterfeiting switchable invisible ink

The project investigates the commercialization of a new type of multifunctional pigment for security inks. According to an estimation from 2016 done by OECD (Organisation for Economic Co-operation and Development) the value of ceased counterfeit products around the globe is around 500 billion euros, which is around 3.3% of the total global market of goods. Counterfeit products cause economical losses for the manufacturers of genuine products. They also may cause adverse health effects and pose a safety risk for their users. OECD is concerned that these fake products and their market increases criminality and diminishes the trust of the general public towards authorities, as well as hinders economic growth. University of Turku has developed a multifunctional security pigment that can be used in several authentication application and logistics. Security inks are used in the authenticity marking of several product types as well as in tags used in tracking items. By changing the pigments currently used in these inks with this new technology, it is possible to decrease costs significantly. This is because the new pigment gives four functionalities in one pigment. One of these is not available in any other pigment or ink: an on/off switchable property in a range that is invisible to the naked eye. These functionalities make a tunable fingerprint for the ink that is very difficult to forge. The new pigments are non-toxic and recyclable. Thus, the project strongly supports sustainability. Because this new pigment will replace the current ones in the security inks, the customer making the labelling will not need to make any new instrumental acquisitions and thus these technologies can be put to use without new investments. Similarly, the reading of the label needs no new expensive equipment and thus the commercialization potential of this innovation is huge, especially as the global market of security inks is currently 2.5 billion euros and rising 5 % annually.

More information: Mika Lastusaari and Anssi Kähkönen

Click-on-Chip Radiochemistry for Diagnostic PET Imaging in Personalized Medicine

STOP-HF

The commercialization of a solution related to a heart failure and chronic obstructive pulmonary disease is investigated in this project. The targeted solution is for home use of heart failure patients. The patients and their physicians can monitor the progression of their disease and detect when the disease gets worse in time, thereby avoiding the acute hospital readmissions.

More information: Mikko Pänkäälä and Anssi Kähkönen

Bragg WOLED

The global general lighting market is 30 B$ (2020) and reaching 43B$ by 2027 with a Compound Annual Growth Rate (CAGR) of over 5%. However, current lighting solutions have negative environmental impacts because they contain rare earth and toxic heavy metal traces. Governments globally apply stricter regulation and pressure for reducing CO2 emission, resulting in a CAGR of 34% for lighting products that are ecological and have a smaller carbon footprint.
We have currently developed and already successfully patented in Finland a fully functional white organic light-emitting diode (WOLED) prototype in our laboratory using a single purely organic light-emitting material and a novel photonic design that we call "Bragg converter”. Our goal in the R2B is to introduce to the market our new white organic light-emitting diode (WOLED) device architecture. During the R2B project, we will focus on increasing the luminous efficacy (efficiency) and luminance (brightness) of our WOLEDs in order to reach the general illumination standards (lighting applications). We anticipate that further funding will come from future industrial partners.

More information: Konstantinos Daskalakis and Anssi Kähkönen

NWoW - Digital Platform for Professional Growth and Change Management

On-Chip Edge AI Commercialization

Computers have become essential to all aspects of modern society and are omnipresent. With the increasing utilization of deep neural networks, applications are becoming more data centric and traditional computers are struggling to catch up. This is why a new computing paradigm is necessary. A physical construction of a deep neural network as hardware is known as neuromorphic computing. It is characterized by mimicking the parallel processing of biological systems. Just like brains in mammals, neuromorphic systems are based on combinations of a large number of simple processing units (artificial neurons), each of them connected by artificial synapses potentially reducing the power-consumption by a thousand times. This is completely different to traditional “von Neumann” architecture, where the processor and memory units are physically separated which give rise to the data transfer bottleneck.
To implement this next generation of computers, we also need new devices that behave more like biological neurons and synapses. Memristor devices are the lead candidate for this task and are envisioned to have very low power consumption as well as high scalability properties, which are drawbacks of current neuromorphic computing. Therefore, the implementation of memristor devices could pave the way for next generation hardware-oriented applications using artificial intelligence with significantly lower power-consumption and reduced carbon footprint.
Taking advantage of our knowledge and expertise in the fabrication and characterization of complex oxides, we will carry an ambitious project of implementing memristive devices composed of low bandwidth manganites as the building block of neuromorphic circuits. For this aim, we have gathered a group of specific expertise combined with the vast experience of our collaboration network to develop the next generation computers required to bridge the gap between isolated devices and their implementation in neural networks circuits.

More information: Petriina Paturi and Anssi Kähkönen

3D-FLUOHISTO

Analysis of tissue structure - histology - is widely used method in medicine and biology. Histology is being used in safety studies of chemicals, drug development and scientific research. Histology, however, is largely based in decades-old methods. New developments for these methods can enhance quality of analyses and reduce costs. This could have significant impact in all parties utilizing histology, such as pharmaceutical and chemical industry. Global market of histology and toxicology is growing strongly, which creates new business opportunities. The aim of this project is to prepare commercialization of a new method suitable for analysis of tissue structure.

More information: Ilkka Paatero and Marjo Pihlavisto

EPLIN-based Method for Identifying Aggressive Cancer and for Designing Personalized Cancer Treatment

The goal of the EPAST-project is to validate a novel biomarker-based method for cancer patients to identify cancer aggressiveness and for personalized medicine usage.

In the Proof-of-Principle studies, biomarker function has already been validated in head and neck cancers. They are the sixth most common cancer in the world. Approximately 800 000 new patients are diagnosed with head and neck cancers globally each year, and they are causing the death of about 400 000 patients annually worldwide. In addition, in our Proof-of-Principle studies we have been able to demonstrate that the indication of the biomarker-based method could be extended to other than head and neck cancers as well and that the biomarker recognition can also be used in selection of treatment modalities in cancer patients. In summary, the EPAST-project has a very high potential to produce a novel biomarker-based method for the personalized cancer medicine and for international cancer markets.

In the future, the EPAST project aims are:
1) to expand and ensure the functionality of the biomarker as widely as possible in identifying the aggressiveness of different cancers
2) to ensure the functionality of the biomarker in personalized medicine and in the individual selection of anticancer drugs
3) to determine and ensure the widest possible use of the biomarker in hospitals and as a part of the cancer treatment guidance among cancer patients
4) to identify and create a platform and a business model to ensure the widest possible commercial use of the biomarker in the international cancer diagnostic and treatment guidance market.

More information: Sami Ventelä and Marjo Pihlavisto

Learning LED

Project investigates the impact of different lights on plants in greenhouse and vertical farm conditions. The aim of the project is to minimize the energy consumption of LED lighting. Project is based on fundamental photosynthesis research and aims to commercialize photosynthesis knowledge by combining it to artificial intelligence, LED technology and embedded systems.

More information: Mikko Tikkanen

Silicon Surface Processing Commercialization (SISUPROCO)

Verenpaineen seuranta paineanturi-matriisilla

Novel immuno-oncological approaches for cancer treatment

Commercialization of the UV Sensing and Glow Properties of Synthetic Optimizable Hakcmanite (SENSOGLOW)

Novel AML diagnostic tools

PROSMART - Smart determination of aggressive prostate cancer using genetic biomarkers

Development of Blood Borne Biomarkers for Early Prediction of Type 1 Diabetes

Laadukkaampaa ja eettisempää lihaa: karjunhajun seulonta

A next generation approach to drug development for Alzheimer’s Disease

Aivokudosvaurion metaboliset merkkiaineet

Your Kind of Games

Diabetes ja luusto- uusi näkökulma diabetesdiagnostiikkaan

A screening platform for oncology & drug discovery

Commercialization of Novel Interfaces (COMNINT)

Synteettinen glykoklusteriadjuvantti syövän immunoterapiaan (TY/ÅA)

Ultra-Low Energy Microcontroller (TY/Aalto/VTT)

Prediktiivinen testi munasarjasyövän diagnostiikkaan (TY/HY )

Sydämen uusi mittausmenetelmä

Smart Pollen (TY/Ilmatieteen laitos)

Pikamääritys sinilevätoksiineille (TY/VTT)

Aistila

Oligoadjuvantti allergian siedätyshoidossa (TY/ÅA)

Endometrioosin biomarkkerit (TY/VTT)

Sähköiset palvelut mielenterveystyöhön (@EduMental)

Sydämen eteisvärinän tunnistaminen (Whispers-af-detect)

KiVa koulu

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u_scsid	sc-static.net	Registers data on visitors' website-behaviour. This is used for internal analysis and website optimization.	Session	HTML Local Storage
X-AB	sc-static.net	This cookie is used by the website’s operator in context with multi-variate testing. This is a tool used to combine or change content on the website. This allows the website to find the best variation/edition of the site.	1 day	HTTP Cookie
dv_last_interaction	Canva	Stores data on the time spent on the website and its sub-pages, during the current session.	Persistent	HTML Local Storage
p.gif	Unibuddy	Keeps track of special fonts used on the website for internal analysis. The cookie does not register any visitor data.	Session	Pixel Tracker
_hjCookieTest	Hotjar	Collects data on the user’s navigation and behavior on the website. This is used to compile statistical reports and heatmaps for the website owner.	Session	HTTP Cookie
_hjSession_#	Hotjar	Collects statistics on the visitor's visits to the website, such as the number of visits, average time spent on the website and what pages have been read.	1 day	HTTP Cookie
_hjSessionUser_#	Hotjar	Collects statistics on the visitor's visits to the website, such as the number of visits, average time spent on the website and what pages have been read.	1 year	HTTP Cookie
invite_id	Unibuddy	Used by third-party student enrollment service.	Persistent	HTML Local Storage
ld:#:$diagnostics	Unibuddy	Used to monitor website performance for statistical purposes.	Persistent	HTML Local Storage
sentryReplaySession	Unibuddy	Registers data on visitors' website-behaviour. This is used for internal analysis and website optimization.	Session	HTML Local Storage
ub_campaign	Unibuddy	Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.	Persistent	HTML Local Storage
ub_content	Unibuddy	Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.	Persistent	HTML Local Storage
ub_medium	Unibuddy	Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.	Persistent	HTML Local Storage
ub_source	Unibuddy	Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.	Persistent	HTML Local Storage
_clck	Microsoft	Collects data on the user’s navigation and behavior on the website. This is used to compile statistical reports and heatmaps for the website owner.	1 year	HTTP Cookie
_clsk [x2]	Microsoft	Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator.	1 day	HTTP Cookie
vuid	Vimeo	Collects data on the user's visits to the website, such as which pages have been read.	2 years	HTTP Cookie
number(#)	Soundcloud	Used to track user’s interaction with embedded content.	Session	HTML Local Storage
analytics_event_v2#analytics_event_metadata	Canva	Allows queries from third-party database for implementation of visual content.	Persistent	IndexedDB
analytics_event_v2#analytics_event_v2	Canva	Allows queries from third-party database for implementation of visual content.	Persistent	IndexedDB
_sp_id.#	www.mtv.fi	Collects data on the user's visits to the website, such as the number of visits, average time spent on the website and what pages have been loaded with the purpose of generating reports for optimising the website content.	2 years	HTTP Cookie
_sp_ses.#	www.mtv.fi	Used by Snowplow Analytics to track how users are browsing and engaging with a website.	1 day	HTTP Cookie
unleash:repository:sessionId	www.mtv.fi	Used in connection with phased release which allows the website owner to assign a certain number of users to a specific version of the website.	Persistent	HTML Local Storage

Name	Provider	Purpose	Maximum Storage Duration	Type
lastExternalReferrer	Meta Platforms, Inc.	Detects how the user reached the website by registering their last URL-address.	Persistent	HTML Local Storage
lastExternalReferrerTime	Meta Platforms, Inc.	Detects how the user reached the website by registering their last URL-address.	Persistent	HTML Local Storage
picox#events [x2]	Issuu Vimeo	Used to track user’s interaction with embedded content.	Persistent	IndexedDB
spidersense#user_info	Issuu	Used to track user’s interaction with embedded content.	Persistent	IndexedDB
ccm/collect	Google	Pending	Session	Pixel Tracker
NID	Google	Registers a unique ID that identifies a returning user's device. The ID is used for targeted ads.	6 months	HTTP Cookie
pagead/1p-user-list/#	Google	Tracks if the user has shown interest in specific products or events across multiple websites and detects how the user navigates between sites. This is used for measurement of advertisement efforts and facilitates payment of referral-fees between websites.	Session	Pixel Tracker
rmkt/collect/470201586/	Google	Pending	Session	Pixel Tracker
iutk	Issuu	Recognises the user's device and what Issuu documents have been read.	Session	HTTP Cookie
u_sclid	sc-static.net	Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.	Persistent	HTML Local Storage
u_sclid_r	sc-static.net	Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.	Persistent	HTML Local Storage
u_scsid_r	sc-static.net	Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.	Session	HTML Local Storage
dd_testcookie	Soundcloud	Pending	Session	HTTP Cookie
ddSession_datadome	Soundcloud	Pending	Persistent	HTML Local Storage
__mpq_#_#	Unibuddy	Collects data on user behaviour and interaction in order to optimize the website and make advertisement on the website more relevant.	Persistent	HTML Local Storage
mp_#_mixpanel	Unibuddy	Pending	1 year	HTTP Cookie
_fbc	Meta Platforms, Inc.	This cookie is used by Facebook to target advertisement based on user behavior and preferences across multiple websites. The cookie contains an encrypted ID which allows Facebook to identify the user across websites.	3 months	HTTP Cookie
_fbp	Meta Platforms, Inc.	Used by Facebook to deliver a series of advertisement products such as real time bidding from third party advertisers.	3 months	HTTP Cookie
_ga	Google	Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.	2 years	HTTP Cookie
_ga_#	Google	Used to send data to Google Analytics about the visitor's device and behavior. Tracks the visitor across devices and marketing channels.	2 years	HTTP Cookie
_gcl_au	Google	Used to measure the efficiency of the website’s advertisement efforts, by collecting data on the conversion rate of the website’s ads across multiple websites.	3 months	HTTP Cookie
_schn1	sc-static.net	Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.	1 day	HTTP Cookie
_scid	sc-static.net	Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.	13 months	HTTP Cookie
_scid_r	sc-static.net	Sets a unique ID for the visitor, that allows third party advertisers to target the visitor with relevant advertisement. This pairing service is provided by third party advertisement hubs, which facilitates real-time bidding for advertisers.	13 months	HTTP Cookie
_screload	sc-static.net	Used by Snapchat to implement advertisement content on the website - The cookie detects the efficiency of the ads and collects visitor data for further visitor segmentation.	Session	HTTP Cookie
LOCAL_STORAGE_ID_PICOX_ID	Vimeo	Used to track user’s interaction with embedded content.	Persistent	HTML Local Storage
LOCAL_STORAGE_ID_VIMEO_PLAYER	Vimeo	Used to track user’s interaction with embedded content.	Persistent	HTML Local Storage
PLAYER_PICOX_SAMPLING_SEED	Vimeo	Used to track user’s interaction with embedded content.	Persistent	HTML Local Storage
totalCalls	www.esitteemme.fi	Used in context with video-advertisement. The cookie limits the number of times a user is shown the same advertisement. The cookie is also used to ensure relevance of the video-advertisement to the specific user.	Persistent	HTML Local Storage
totalCallsTimeout	www.esitteemme.fi	Used in context with video-advertisement. The cookie limits the number of times a user is shown the same advertisement. The cookie is also used to ensure relevance of the video-advertisement to the specific user.	Persistent	HTML Local Storage
_gcl_ls [x2]	Google www.mtv.fi	Tracks the conversion rate between the user and the advertisement banners on the website - This serves to optimise the relevance of the advertisements on the website.	Persistent	HTML Local Storage
LAST_RESULT_ENTRY_KEY [x2]	YouTube	Used to track user’s interaction with embedded content.	Session	HTTP Cookie
TESTCOOKIESENABLED [x2]	YouTube	Used to track user’s interaction with embedded content.	1 day	HTTP Cookie
yt-icons-last-purged [x2]	YouTube	Necessary for the implementation and functionality of YouTube video-content on the website.	Persistent	HTML Local Storage
ytidb::LAST_RESULT_ENTRY_KEY [x2]	YouTube	Used to track user’s interaction with embedded content.	Persistent	HTML Local Storage
YtIdbMeta#databases [x2]	YouTube	Used to track user’s interaction with embedded content.	Persistent	IndexedDB
__Secure-ROLLOUT_TOKEN	YouTube	Used to track user’s interaction with embedded content.	180 days	HTTP Cookie
__Secure-YEC	YouTube	Stores the user's video player preferences using embedded YouTube video	Session	HTTP Cookie
__Secure-YNID	YouTube	Used to track user’s interaction with embedded content.	180 days	HTTP Cookie
LogsDatabaseV2:V#\|\|LogsRequestsStore	YouTube	Used to track user’s interaction with embedded content.	Persistent	IndexedDB
ServiceWorkerLogsDatabase#SWHealthLog	YouTube	Necessary for the implementation and functionality of YouTube video-content on the website.	Persistent	IndexedDB
VISITOR_INFO1_LIVE	YouTube	Tries to estimate the users' bandwidth on pages with integrated YouTube videos.	180 days	HTTP Cookie
YSC	YouTube	Registers a unique ID to keep statistics of what videos from YouTube the user has seen.	Session	HTTP Cookie